Type of Presentation

Poster

Session Title

Protection, remediation and restoration

Description

As part of the World Class Tanker Safety initiative of the Government of Canada, the Department of Fisheries and Oceans (DFO) Pacific region science division has been tasked with predicting species distributions and habitat suitability along northern shipping routes. Bottom substrate charts are key tools in developing habitat charts. They are important to stakeholders within DFO, Parks Canada, and Environment Canada as they are used to identify areas of potentially high biodiversity, increased oil spill susceptibility, or heightened importance to an ecosystem. Science staff at the Pacific Biological Station (PBS), and Canadian Hydrographic Service (CHS) have been developing a seabed classification model that analyses Multi-beam Echo Sounder (MBES) backscatter derivatives and bathymetry derivatives. This Iso-Cluster model has been enhanced with sediment grab data and ROV observations to further refine the algorithm. Additionally, a new tool using Random Forests (RF) machine learning has been developed and applied that may provide an objective and automated approach for predicting seafloor bottom types.

The CHS has previously collected backscatter data from MBES bathymetric surveys conducted in and around Vancouver harbour from 2000-2012. While this data has traditionally been secondary to navigational chart production, more recently, CHS has received increasing requests for seabed classification products. With recent developments to MBES hardware and software, combined with the newly developed processing models, CHS is poised to provide better support for a seabed substrate charting project with Port Metro Vancouver. CHS will process this existing data using the ISO-Cluster model and present unsupervised initial bottom substrate maps.

Comments

Multi-Beam Echo Sounder

Backscattter

ISO-Cluster

Seabed

Substrate Classification

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Seabed Substrate Classification Charts for Vancouver Harbour and Vicinity

2016SSEC

As part of the World Class Tanker Safety initiative of the Government of Canada, the Department of Fisheries and Oceans (DFO) Pacific region science division has been tasked with predicting species distributions and habitat suitability along northern shipping routes. Bottom substrate charts are key tools in developing habitat charts. They are important to stakeholders within DFO, Parks Canada, and Environment Canada as they are used to identify areas of potentially high biodiversity, increased oil spill susceptibility, or heightened importance to an ecosystem. Science staff at the Pacific Biological Station (PBS), and Canadian Hydrographic Service (CHS) have been developing a seabed classification model that analyses Multi-beam Echo Sounder (MBES) backscatter derivatives and bathymetry derivatives. This Iso-Cluster model has been enhanced with sediment grab data and ROV observations to further refine the algorithm. Additionally, a new tool using Random Forests (RF) machine learning has been developed and applied that may provide an objective and automated approach for predicting seafloor bottom types.

The CHS has previously collected backscatter data from MBES bathymetric surveys conducted in and around Vancouver harbour from 2000-2012. While this data has traditionally been secondary to navigational chart production, more recently, CHS has received increasing requests for seabed classification products. With recent developments to MBES hardware and software, combined with the newly developed processing models, CHS is poised to provide better support for a seabed substrate charting project with Port Metro Vancouver. CHS will process this existing data using the ISO-Cluster model and present unsupervised initial bottom substrate maps.